OnePlus CPH2655
Geekbench AI Score
299
Single Precision Score
25357
Half Precision Score
56741
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 02:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2655 |
| Model ID | OnePlus CPH2655 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
20392
3.79 KIPS |
|
|
Image Classification (Q)
|
97% |
46560
8.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
14264
231.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
41457
674.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
484
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
120480
140.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
470361
550.5 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
17029
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
19904
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
379
4.51 IPS |
|
|
Face Detection (HP)
|
100% |
33938
403.3 IPS |
|
|
Face Detection (Q)
|
97% |
120732
1.44 KIPS |
|
|
Depth Estimation (SP)
|
100% |
306
2.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
74173
571.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
129233
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
562
0.72 IPS |
|
|
Style Transfer (HP)
|
98% |
97838
126.2 IPS |
|
|
Style Transfer (Q)
|
98% |
486283
627.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
152
5.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52547
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125253
4.64 KIPS |
|
|
Text Classification (SP)
|
100% |
192
256.3 IPS |
|
|
Text Classification (HP)
|
100% |
3862
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
7848
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2567
66.1 IPS |
